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920 results for “Functional analysis”
FIGURE. Results of discriminant function analysis (DFA) for the reproductive characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2). Loadings for the first axis (only absolute values>0.50 are given: LN = 1.09, WN = -1.57, LN/WN = -1.59, FGL = 0.74. Loadings for the second axis: UL/UW = 0.57, LW = 0.71, WW = 0.52. Loadings for the third axis: UL = -0.73, UW = 1.56, UL/UW = 0.92, LN = -2.76, WN = 2.53, LN/WN = 2.14. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for the reproductive characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2). Loadings for the first axis (only absolute values>0.50 are given: LN = 1.09, WN = -1.57, LN/WN = -1.59, FGL = 0.74. Loadings for the second axis: UL/UW = 0.57, LW = 0.71, WW = 0.52. Loadings for the third axis: UL = -0.73, UW = 1.56, UL/UW = 0.92, LN = -2.76, WN = 2.53, LN/WN = 2.14. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides.
FIGURE. Results of discriminant function analysis (DFA) for the vegetative characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2. Loadings for the first axis (only absolute values>0.50 are given): SN = 0.57. Loadings for the second axis: CL = -0.91, IL = 0.54. Loadings for the third axis: CW = 0.62, CLL = -0.52, CLW = -0.89, IL = 0.51. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides, re—C. repens. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for the vegetative characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2. Loadings for the first axis (only absolute values>0.50 are given): SN = 0.57. Loadings for the second axis: CL = -0.91, IL = 0.54. Loadings for the third axis: CW = 0.62, CLL = -0.52, CLW = -0.89, IL = 0.51. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides, re—C. repens.
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. pseudobrizoides (ps) and C. brizoides (br). Characters abbreviated as in Table 2. A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): UL/UW = 0.79, LN = -0.72, WN = 1.33, LN/WN = 1.45, FGL = -0.72. Loadings for the second axis: UW = -1.37, UL/UW = -0.55, LN = 2.13, WN = -2.07, LN/WN = -1.45. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): CL = -0.76, IL = 0.82. Loadings for the second axis: CL = 0.57, SN = 0.68, LSL = 0.79. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. pseudobrizoides (ps) and C. brizoides (br). Characters abbreviated as in Table 2. A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): UL/UW = 0.79, LN = -0.72, WN = 1.33, LN/WN = 1.45, FGL = -0.72. Loadings for the second axis: UW = -1.37, UL/UW = -0.55, LN = 2.13, WN = -2.07, LN/WN = -1.45. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): CL = -0.76, IL = 0.82. Loadings for the second axis: CL = 0.57, SN = 0.68, LSL = 0.79.
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. brizoides (br) and C. praecox (pr). Characters abbreviated as in Table 2): A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): UL = 0.53, UL/UW = -0.56, LN = 1.37, WN = -2.23, LN/WN = -2,03, FGL = 0.56. Loadings for the second axis: UL/UW = 0.79, LW = 0.61, LN = -0.87, WN = 0.90, LN/WN = 0.87. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): CL = -0.54, IL = 0.72. Loadings for the second axis: CLL = -0.73. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. brizoides (br) and C. praecox (pr). Characters abbreviated as in Table 2): A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): UL = 0.53, UL/UW = -0.56, LN = 1.37, WN = -2.23, LN/WN = -2,03, FGL = 0.56. Loadings for the second axis: UL/UW = 0.79, LW = 0.61, LN = -0.87, WN = 0.90, LN/WN = 0.87. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): CL = -0.54, IL = 0.72. Loadings for the second axis: CLL = -0.73.
Nitrification, denitrification, and related functional genes under elevated CO2: a meta-analysis in terrestrial ecosystems
<p>This file encompasses the data that support the findings of the study entitled "Nitrification, denitrification, and related functional genes under elevated CO<sub>2</sub>: a meta-analysis in terrestrial ecosystems" by Robin Gineyts and Audrey Niboyet in Global Change Biology.</p>
Quality-aware Analysis and Optimisation of Virtual Network Functions
<p><strong>To watch it in Youtube:</strong></p> <p><a href="https://youtu.be/RGwIVCgANcU">https://youtu.be/RGwIVCgANcU</a></p> <p><strong>This is the live presentation of a conference paper. Please, access and cite the published version:</strong></p> <p><a href="https://doi.org/10.1145/3546932.3547007">https://doi.org/10.1145/3546932.3547007</a></p> <p>The softwarisation and virtualisation of network functionality is the last milestone in the networking industry. <em>Software-Defined Networks</em> (SDN) and <em>Network Function Virtualization</em> (NFV) offer the possibility of using software to manage computer and mobile networks and build novel <em>Virtual Network Functions</em> (VNFs) deployed in heterogeneous devices. To reason about the variability of network functions and especially about the quality of a software product defined as a set of VNFs instantiated as part of a service (i.e., Service Function Chaining), a variability model along with a quality model is required.</p> <p>However, this domain imposes certain challenges to quality-aware reasoning of service function chains, such as numerical features or configuration-level <em>Quality Attributes</em> (QAs) (e.g., energy consumption). Incorporating numerical reasoning with quality data into SPL analyses is challenging and tool support is rare. In this work, we present 3 groups of operations: model report, aggregate functions to dynamically convert QAs at the feature-level into the configuration-level, and quality-aware optimisation. Our objective is to test the most complete reasoning tools to exploit the extended variability with quality attributes needed for VNFs.</p>
Seismic event file for receiver function analysis
<p>Seismic event file for receiver function analysis used in Crustal structure from incoming plate to back-arc region in the southernmost Mariana Trench based on OBS receiver functions (in review at G-cubed).</p>
data for "Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel"
<p>Data S1 for Manuscript <strong>Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel.</strong></p>
Fig. 6. Western blot analysis with a p in Mutagenesis of a Lotus japonicus GSK3β/Shaggy-like kinase reveals functionally conserved regulatory residues
Fig. 6. Western blot analysis with a p-GSK-3α/β (6D3) (Santa Cruz Biotechnology, Inc.) monoclonal antibody raised against a phosphopeptide corresponding to amino acids residues surrounding Tyr279 of human GSK3α and Tyr216 of human GSK3β. Lane 1: recombinant LjSK1 and lane 2: LjSK1 Y298A variant. Both proteins have a GST-tag.
Fig. 1. Indian chia lipid content analysis a in Functional characterization of acyltransferases from Salvia hispanica that can selectively catalyze the formation of trilinolenin
Fig. 1. Indian chia lipid content analysis a) Lipid content of developing seeds, expressed as % of dry weight. b) Fatty acid composition of developing seeds. c) Representative GC-MS chromatogram showing the fatty acid profile of chia seeds (21 DAF). d) RP-HPLC chromatogram showing the major TAG species present in chia seed oil (28 DAF). All values are represented as the mean of biological triplicates ± SD. DAF- Days after flowering; PA- Palmitic acid (C16:0), SA- Stearic acid (C18:0), OA- Oleic acid (C18:1), LA- Linoleic acid (C18:2), ALA- α-Linoleic acid (C18:3); 18:3/18:3/18:3 – Trilinolenin.
The importance of functional analysis: a cautionary case of cerebellar ataxia
<p><strong>Supplementary Video 1</strong>. Eye movements. This video demonstrates tortuous conjunctival vessels and telangiectasia, interrupted pursuit movements, gaze-evoked nystagmus and hypometric saccades. </p>
NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy
<p>The data from publication "NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy".<br> <br> <code>nemo-bids.zip</code> contains the raw optical density (OD) recordings and corresponding metadata for each participant.</p> <p><code><task_id>_csv.zip</code> provides an easy way to access the processed <a href="https://mne.tools/stable/auto_tutorials/epochs/10_epochs_overview.html">epochs</a> data without needing any code from the code repository or other BIDS tools.</p> <p><code>NEMO_additional_metadata.tsv</code> contains additional details, such as subject's age, monitor refresh rate, gender, handedness, recording date and time, specifics about different trial types, and more. Detailed descriptions of each column can be found in the <code>NEMO_additional_metadata_column_descriptions.tsv</code> file.</p> <p>For how to use the data, refer to <a href="https://github.com/Cognitive-Computing-Group/NEMO">https://github.com/Cognitive-Computing-Group/NEMO</a></p>
Sebum Collection and Skin Barrier Function Analysis
ClinicalTrials.gov study NCT03112876. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Pediatric Femur Fractures: Functional Bracing vs Spica Casting - Outcomes and Cost Analysis
ClinicalTrials.gov study NCT06569199. IPD Sharing: NO. Countries: 1. Publications: 1.
Genetic and Functional Analysis of Craniometaphyseal Dysplasia (CMD)
ClinicalTrials.gov study NCT01630460. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Validation of a Score for Shoulder Function Evaluation Based on Movement Analysis
ClinicalTrials.gov study NCT01281085. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prospective Analysis Of Cardiac Function In Cirrhotic Patients By Echocardiography And Its Correlation With Events
ClinicalTrials.gov study NCT01433848. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Motion Analysis and Assessment of Cardiac Function for Cardiac Images
ClinicalTrials.gov study NCT01627964. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Gait Analysis and Neuromuscular Function After Primary Total Hip Replacement
ClinicalTrials.gov study NCT01229293. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Genetic and Functional Analysis of Aplasia Cutis Congenital (ACC)
ClinicalTrials.gov study NCT01630421. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.